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Artificial Immune Systems Based Intrusion Detection System

机译:基于人工免疫系统的入侵检测系统

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In this work the intrusion detection system (IDS) based on artificial immune systems is presented. This IDS traces sequences of applications system calls and then uses the negative selection algorithm to detect changes in the normal system behavior. It works on MS Windows operation system. This IDS also shows a high performance on local area networks when artificial immune systems on each station work together. Because of that defense of the network increases. The network variant of IDS uses adaptation algorithm that improves the performance of every separate station.
机译:在这项工作中,提出了基于人工免疫系统的入侵检测系统(IDS)。该IDS跟踪应用程序系统调用的序列,然后使用否定选择算法来检测正常系统行为的变化。它适用于MS Windows操作系统。当每个工作站上的人工免疫系统协同工作时,此IDS在局域网上也显示出很高的性能。因此,网络防御能力增强。 IDS的网络变体使用自适应算法,可以提高每个单独站点的性能。

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